scholarly journals Multicriteria Model Proposition to Support the Management of Systems of E-Waste Collection

Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 60
Author(s):  
Ciro Henrique de Araújo Fernandes ◽  
Lucio Camara e Silva ◽  
Patricia Guarnieri ◽  
Bárbara de Oliveira Vieira
Keyword(s):  
Decision Making ◽  
Environmental Sustainability ◽  
Electronic Waste ◽  
Multicriteria Decision Making ◽  
Public Agency ◽  
Proposed Model ◽  
Global Concern ◽  
Support Policy ◽  
Multicriteria Model ◽  
Support Decision Making

Background: Considering the global concern in balancing economic growth with environmental sustainability, the study proposes a model to support multicriteria decision-making. From the systematic literature review and bibliometric analysis, there was an increasing trend in studies on electronic waste due to governments, stakeholders, and the population to better address the management of this waste; Methods: We propose a decision model considering some aspects and phases that help from collecting information to support decision making, based on the FITradeoff ordering method, to support policy decisions for managing Waste from Electrical and Electronic Equipment (WEEE) collection systems.; Results: After applying the proposed model, validated based on the perception of a decision-maker working in a federal public agency, we obtained the final classification with ten positions of alternatives; Conclusions: This outcome can assist in decision making and management of the collection of WEEE. In addition, we made recommendations to manufacturers have more responsibility in the design and traceability of the product to guarantee its recovery after disposal effectively.

scholarly journals Extensions of Dombi Aggregation Operators for Decision Making under m-Polar Fuzzy Information

2020 ◽  
Vol 2020 ◽  
pp. 1-20 ◽  
Author(s):  
Muhammad Akram ◽  
Naveed Yaqoob ◽  
Ghous Ali ◽  
Wathek Chammam
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Aggregation Operators ◽  
Weighted Averaging ◽  
Fuzzy Information ◽  
Ordered Weighted Averaging ◽  
Fuzzy Environment ◽  
Proposed Model ◽  
Electre I ◽  
Geometric Operator

An m-polar fuzzy set is a powerful mathematical model to analyze multipolar, multiattribute, and multi-index data. The m-polar fuzzy sets have appeared as a useful tool to portray uncertainty in multiattribute decision making. The purpose of this article is to analyze the aggregation operators under the m-polar fuzzy environment with the help of Dombi norm operations. In this article, we develop some averaging and geometric aggregation operators using Dombi t-norm and t-conorm to handle uncertainty in m-polar fuzzy (mF, henceforth) information, which are mF Dombi weighted averaging (mFDWA) operator, mF Dombi ordered weighted averaging (mFDOWA) operator, mF Dombi hybrid averaging (mFDHA) operator, mF Dombi weighted geometric (mFDWG) operator, mF Dombi weighted ordered geometric operator, and mF Dombi hybrid geometric (mFDHG) operator. We investigate properties, namely, idempotency, monotonicity, and boundedness, for the proposed operators. Moreover, we give an algorithm to solve multicriteria decision-making issues which involve mF information with mFDWA and mFDWG operators. To prove the validity and feasibility of the proposed model, we solve two numerical examples with our proposed models and give comparison with mF-ELECTRE-I approach (Akram et al. 2019) and mF Hamacher aggregation operators (Waseem et al. 2019). Finally, we check the effectiveness of the developed operators by a validity test.

scholarly journals A Simulation-Based Tool to Support Decision-Making in Logistics Design of a Can Packaging Line

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Victoria G. Achkar ◽  
Valentina Bär ◽  
Franco Cornú ◽  
Carlos A. Méndez
Keyword(s):  
Decision Making ◽  
Material Handling ◽  
Discrete Event ◽  
Inventory Systems ◽  
Dynamic Interactions ◽  
Event Simulation ◽  
Proposed Model ◽  
Simulation Based ◽  
And Performance ◽  
Support Decision Making

AbstractThis study proposes an advanced discrete-event simulation-based tool to support decision-making in the internal logistic design of a packaging line of a multinational brewery company. The selected software, Simio, allows emulating, advising and predicting the behavior of complex real-world systems. The simulation model provides a 3D interface that facilitates verification and validation. In this work, the designed model is used to understand the dynamic interactions between multiple factors and performance measures including both material-handling and inventory systems and to define necessary quantities and/or capacities of resources for a future can packaging line. Based on the proposed model, a what-if analysis is performed to determine inventory threshold values and other critical variables in order to optimize the configuration of internal logistics in potential scenarios.

scholarly journals Cotton and Surgical Masks—What Ecological Factors Are Relevant for Their Sustainability?

2020 ◽  
Vol 12 (24) ◽  
pp. 10245
Author(s):  
Mélanie Schmutz ◽  
Roland Hischier ◽  
Till Batt ◽  
Peter Wick ◽  
Bernd Nowack ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Life Cycle Assessment ◽  
Environmental Sustainability ◽  
Environmental Performance ◽  
Ecological Factors ◽  
High Demand ◽  
Surgical Masks ◽  
Support Decision Making ◽  
Better Than

With the COVID-19 pandemic, wearing facemasks became common. Many initiatives arose to develop new types of reusable textile masks in order to overcome a shortage of surgical masks for the health care personnel and for the civil society. Having such high demand of facemasks raises the question about what factors define their environmental sustainability. This paper presents a first simplified Life-Cycle-Assessment (LCA) comparing surgical masks and 2-layered cotton masks. The aim of the paper is to identify and understand the relevant ecological factors in order to support decision making on how textile masks could be designed in a more sustainable manner. The results of our simplified LCA show that the cotton masks were performing better than the surgical masks and vice versa depending on the environmental impact that was looked at. It was also found that the lifespan and the weight of the cotton masks are two variables having a great importance for their overall environmental performance.

scholarly journals Identification of a New Industrial Area Based on a Macro-Level Analysis – a Case of Bokaro District, Jharkhand, India

2019 ◽  
Vol 9 (2) ◽  
pp. 1626-1632
Keyword(s):  
Decision Making ◽  
Environmental Sustainability ◽  
Multicriteria Decision Making ◽  
Industrial Area ◽  
Economic Benefits ◽  
Strategic Decision ◽  
Industrial Site ◽  
Site Location ◽  
Political Issues ◽  
Location Determinants

Locating a new industrial area involves a strategic decision that covers several criteria with consideration for socio-economic benefits and environmental sustainability alongwith technical, and political issues. These different criteria are described using a number of indicators in terms of quantity and quality with some possible uncertainty. Decision making thus requires appropriate tools for data collection, analysis and knowledge management to address this multidisciplinary situation. This paper tries to find out the comprehensive method for industrial site location, a sustainable approach for finding the most suitable solution. Identifying the location determinants and site suitability models used for allocating an industrial site is observed to be an essential aspect of siting of industry, as such; level of decision making is dependent on predefined constraints. Multicriteria decision making method (M.C.D.M) seems to be a consistent and efficient solution which forms the basis for locating multiple sites for industrial activity in any delineated area.

Decision Model for Policy Makers in the Context of Citizens Engagement

2016 ◽  
Vol 34 (6) ◽  
pp. 740-756 ◽  
Author(s):  
Imen Boukhris ◽  
Raouia Ayachi ◽  
Zied Elouedi ◽  
Sehl Mellouli ◽  
Nahla Ben Amor
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Smart Cities ◽  
Multicriteria Decision Making ◽  
Policy Makers ◽  
The North ◽  
Proposed Model ◽  
Network Process ◽  
The City

Citizens’ engagement is considered as one of the important dimensions for the development of smart cities since, in the vision of a city of the future (smart city), citizens will be more and more involved in the decision-making process of different issues related to the development of a city. In this context, policy makers face a decision problem where they have to integrate a new dimension, which is the voice of the citizens’ decision. This article proposes a tool based on multicriteria decision making methods to provide decision makers with the best alternative(s) that are based on citizens’ opinions. In order to tackle the potential interdependencies between criteria and also between alternatives in the selection process, we apply a hybrid model integrating the analytical network process and an extended version of technique for order performance by similarity to ideal solution to support group decision-making. The proposed model is applied in the context of participatory budgeting (PB) where citizens decide on the projects in which the money can be invested. This process is complex since it encompasses multiple interdependent criteria that may be conflicting with each other and that are used to take decisions. To illustrate our approach, we will apply the proposed technique for the case study of La Marsa, a city in the north of the capital Tunis (Tunisia) that adopted, since 2014, a PB strategy in which citizens proposed alternatives on how an amount of money can be used to lighten specific streets in the city.

Agent-based modeling of emergency evacuation in a railway station square under sarin terrorist attack

2016 ◽  
Vol 08 (02) ◽  
pp. 1750022 ◽  
Author(s):  
Liang Ma ◽  
Bin Chen ◽  
Sihang Qiu ◽  
Zhen Li ◽  
Xiaogang Qiu
Keyword(s):  
Decision Making ◽  
Terrorist Attack ◽  
Emergency Evacuation ◽  
Railway Station ◽  
Evacuation Modeling ◽  
Agent Based ◽  
Proposed Model ◽  
Planning Algorithm ◽  
Path Planning Algorithm ◽  
Support Decision Making

Evacuation modeling is a promising measure to support decision making in scenarios such as flooding, explosion, terrorist attack and other emergency incidents. Given the special attention to the terrorist attack, we build up an agent-based evacuation model in a railway station square under sarin terrorist attack to analyze such incident. Sarin dispersion process is described by Gaussian puff model. Due to sarin’s special properties of being colorless and odorless, we focus more on the modeling of agents’ perceiving and reasoning process and use a Belief, Desire, Intention (BDI) architecture to solve the problem. Another contribution of our work is that we put forward a path planning algorithm which not only take distance but also comfort and threat factors into consideration. A series of simulation experiments demonstrate the ability of the proposed model and examine some crucial factors in sarin terrorist attack evacuation. Though far from perfect, the proposed model could serve to support decision making.

scholarly journals A New Decision Support Framework with Picture Fuzzy Information: Comparison of Video Conferencing Platforms for Higher Education in India

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Sanjib Biswas ◽  
Dragan Pamucar ◽  
Paramita Chowdhury ◽  
Samarjit Kar
Keyword(s):  
Decision Making ◽  
Video Conferencing ◽  
Average Distance ◽  
Social Science Research ◽  
Real Life ◽  
Multicriteria Decision Making ◽  
Science Research ◽  
Preference Ranking ◽  
Multicriteria Decision ◽  
Proposed Model

The purpose of this paper is to present a novel extension of a very recently developed multicriteria decision making (MCDM) algorithm known as the preference ranking on the basis of ideal-average distance (PROBID) method in a picture fuzzy (PF) environment. We use the full consistency method (FUCOM) with picture fuzzy numbers (PFNs) for deriving the criteria weights. We attempt to apply our proposed model for addressing a real-life complex decision making problem in social science research that gets influenced by the dynamics of discrete human behaviors. We compare eight popular video conferencing (VC) tools used for teaching-learning and meeting purposes in India using our novel integrated multicriteria decision making (MCDM) framework of FUCOM-PROBID with PF information. The criteria have been derived using the theoretical foundation of usability and user experience (UX). Based on the opinion of the decision makers (DM) or users who took part in the study, we find that ease of operations, compatibility with multiple systems and devices, quality of the voice, and video transmission and features are given more emphasis while Zoom, Microsoft Teams, and Google Meet are found to be preferable options to the users. The result of the proposed model shows stability and robustness as evident from the validation test and sensitivity analysis.

Decision making based on intuitionistic fuzzy preference relations with additive approximate consistency

2020 ◽  
Vol 39 (3) ◽  
pp. 4041-4058
Author(s):  
Fang Liu ◽  
Xu Tan ◽  
Hui Yang ◽  
Hui Zhao
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Real Interval ◽  
Preference Relations ◽  
Intuitionistic Fuzzy ◽  
Proposed Model ◽  
Fuzzy Preference Relations ◽  
Novel Concept ◽  
Fuzzy Weights ◽  
Fuzzy Preference

Intuitionistic fuzzy preference relations (IFPRs) have the natural ability to reflect the positive, the negative and the non-determinative judgements of decision makers. A decision making model is proposed by considering the inherent property of IFPRs in this study, where the main novelty comes with the introduction of the concept of additive approximate consistency. First, the consistency definitions of IFPRs are reviewed and the underlying ideas are analyzed. Second, by considering the allocation of the non-determinacy degree of decision makers’ opinions, the novel concept of approximate consistency for IFPRs is proposed. Then the additive approximate consistency of IFPRs is defined and the properties are studied. Third, the priorities of alternatives are derived from IFPRs with additive approximate consistency by considering the effects of the permutations of alternatives and the allocation of the non-determinacy degree. The rankings of alternatives based on real, interval and intuitionistic fuzzy weights are investigated, respectively. Finally, some comparisons are reported by carrying out numerical examples to show the novelty and advantage of the proposed model. It is found that the proposed model can offer various decision schemes due to the allocation of the non-determinacy degree of IFPRs.

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